Group Meetings

Besides updating each other on the latest from our individual projects, we try to get young scientists from other research groups to come and share their work with us.

Currently our group meetings take place every Friday at 10 am CEST and goes on till around 12 noon. Since the beginning of November 2020, the meetings are entirely on Zoom.

Topic: MLCS Group Meeting
Time: Fridays, 10 am CEST
Join Zoom Meeting: Send email

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Upcoming

• 9 July 2021
  Prediction of soil type maps using uncertainty
  Kerstin Rau
  Soil Science and Geomorphology, University of Tübingen

• 14 July 2021 (Guest Lecture for ML-4430 course)
  TBA
  Peter Dueben
  Earth System Modelling Seciton, ECMFW

• 23 July 2021
  An investigation into precipitation history using HYSPLIT and PySplit within SE Uzbekistan
  Evie Merrygold
  University of Northumbria, UK

• 30 July 2021
  TBA

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Past Meetings

• Cancelled 2 July 2021
  Interpretable neural networks to identify which density Information determines the state of the AMOC
  Björn Mayer
  Climate Modelling, Institute of Oceanography, Universität Hamburg

• 25 June 2021
  Reservoir computing with swarms
  Thomas Lymburn
  University of Western Australia

• 18 June 2021
  IMPRS Boot Camp

• 11 June 2021
  Intro to the ML Cloud SLURM queue
  Discussion led by Felix Strnad
  MLCS

• 4 June 2021
  Curvature-based analysis of climate networks
  Christian Fröhlich
  MLCS

• 28 May 2021
  Analysing tropical - extratropical teleconnection in boreal summer with causal maps: ERA-I vs SEAS5
  Giorgia Di Capua
  ESMO, PIK Potsdam

• 21 May 2021
  Get-to-Know & Informal discussion

• 14 May 2021
  Ensemble Prediction
  Online Public Lecture by Tim Palmer
  Perspectives Climate

• 7 May 2021
  Application of edit distance method to recurrence plot and climate network
  Abhirup Banerjee
  Complexity Science, PIK Potsdam
• 30 April 2021
  vEGU 2021
• 23 April 2021
  vEGU 2021
• 16 April 2021
  Trial Talks for #vEGU2021
  Presentation by Members of MLCS
• 9 April 2021, 9 AM CEST (!)
  Developing a novel hydrological proxy from trace metals in stalagmites
  Sebastian Höpker
  Waikato Environmental Geochemistry
• 2 April 2021
  Good Friday
• 26 March 2021
  Collective learning for a sustainable future
  Wolfram Barfuss
  School of Mathematics, University of Leeds
• 19 March 2021, 16:00 CET (!)
  Fingerprint of volcanic forcing on the ENSO-Indian Monsoon coupling
  Manmeet Singh
  IITM Pune
• 12 March 2021
  Generative adversarial training for simulation-based inference
  Poornima Ramesh
  Machine Learning in Science
• 5 March 2021
  At the intersection of climate science, machine learning and Earth system dynamics
  Sebastian Mutz
  Palaeoclimate and Climate Dynamics Jr. Research group
• 26 February 2021
  Variations of wind convergence in context of ITCZ
  Lea Elsemüller
  Machine Learning in Climate Science
• 19 February 2021
  Constraining ice shelf basalt melt rates from isochrone data
  Vjeran Visnjevic
  Glaciology and Geophysics Group
• 12 February 2021
  A brief introduction to recurrence plot based analysis
  Bedartha Goswami
  Machine Learning in Climate Science
• 5 February 2021
  Impact of strong El Niño events on river discharge in South America
  Markus Deppner
  Machine Learning in Climate Science
• 29 January 2021
  An Introduction to Digital Soil Mapping
  Ruhollah Taghizadeh-Mehrjardi
  Department of Soil Science and Geomorphology
• 22 January 2021
  How Artificial Intelligence could help mitigate climate change
  Online Public Lecture
  Climate Change AI
• 15 January 2021
  Disentangling the latent space representation of Pacific sea surface temperature anomalies
  Jakob Schlör
  Machine Learning in Climate Science
• 8 January 2021
  Analyzing the monsoon by networks of extreme rainfall events
  Felix Strnad
  Machine Learning in Climate Science
• 1 January 2021
  New Year
• 25 December 2020
  Christmas
• 18 December 2020
  Laplace Matching for generalized linear models
  Marius Hobbhahn
  Methods of Machine Learning
• 11 December 2020
  Modeling Spatiotemporal Dynamics with a Neural Network Architecture
  Matthias Karlbauer
  Neuro-Cognitive Modeling Group
• 4 December 2020
  Uncovering the inductive bias of NetGAN
  Luca Rendsburg
  Theory of Machine Learning
• 27 November 2020
  Probabilistic models in network analysis
  Martina Contisciani
  Physics for Inference and Optimization
• 20 November 2020
  Gaussian Processes for parameter estimation of PDEs
  Thomas Gläßle
  Methods of Machine Learning
• 13 November 2020
  Update on projects
  Markus Deppner, Lea Elsemueller
  MLCS

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